Instructions to use SceneWorks/bernini-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/bernini-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir bernini-mlx SceneWorks/bernini-mlx
- Wan2.2
How to use SceneWorks/bernini-mlx with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "_class_name": "WanTransformer3DModel", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "added_kv_proj_dim": null, | |
| "attention_head_dim": 128, | |
| "cross_attn_norm": true, | |
| "eps": 1e-06, | |
| "ffn_dim": 13824, | |
| "freq_dim": 256, | |
| "image_dim": null, | |
| "in_channels": 16, | |
| "num_attention_heads": 40, | |
| "num_layers": 40, | |
| "out_channels": 16, | |
| "patch_size": [ | |
| 1, | |
| 2, | |
| 2 | |
| ], | |
| "pos_embed_seq_len": null, | |
| "qk_norm": "rms_norm_across_heads", | |
| "rope_max_seq_len": 1024, | |
| "text_dim": 4096 | |
| } | |